https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkw377

Address of the bookmark: http://amp.pharm.mssm.edu/Enrichr/

Data mining commonly involves four classes of tasks:

• Classification - Arranges the data into predefined groups. For example, an email program might attempt to classify an email as legitimate or spam. Common algorithms include decision tree learning, nearest neighbor, naive Bayesian classification and neural networks.
• Clustering - Is like classification but the groups are not predefined, so the algorithm will try to group similar items together.
• Regression - Attempts to find a function which models the data with the least error.
• Association rule learning - Searches for relationships between variables. For example a supermarket might gather data on customer purchasing habits. Using association rule learning, the supermarket can determine which products are frequently bought together and use this information for marketing purposes. This is sometimes referred to as market basket analysis.
• From experience, I can say that is one of the most frustrating positions to be in. Data mining is a huge field and can easily be bewildering for a beginner. However, high through-put techniques in molecular biology require, more and more, that bioinformatics is required to interpret the data. Furthermore, people working in bioinformatics generally come from computer science, or biology backgrounds. Data mining, however, involves statistics to one degree or another, which means entering a field that is may not be your strong point.
• Excel is fine for creating graphs. If you’re serious about data mining though, you’ll need something more heavy weight. I use R, free, and with good data mining packages such as vegan and labdsv. For beginners R can be impenetrable, I recommend this book an introduction to R as well as the underlying statistics.
• Any of us can rush head on into a land of support vector machines, hidden markov models and neural networks. But coming back to the first point, what are you trying to prove? Always question what are you doing, how does it fit in to the wider picture? Try to regularly review, and keep track of where you are going? This will prevent you from falling into data mining despair.

Data Mining Resources on the net:

A laboratory of data mining and bioinformatics is headed by Prof. Ambuj Singh. There are currently seven graduate students in the research group. Our research focuses on image informatics and scalable querying and mining of graphs.For more detail visit: http://www.cs.ucsb.edu/~dbl/

Here are the materials (Lecture notes) from several past courses on data mining and/or Web mining by Stanford: For detail visit: http://infolab.stanford.edu/~ullman/mining/mining.html
Statistical Data Mining Tutorial Slides by Andrew Moore The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms. For detail visit: http://www.autonlab.org/tutorials/

A tutorial on Introduction to Data Mining for Discovering hidden value in your data warehouse:http://www.thearling.com/text/dmwhite/dmwhite.htm 
Wiki Links: http://en.wikipedia.org/wiki/Data_mining
Bioinformatics with Clementine http://www.spss.ch/upload/1051192224_inseratClemBio.pdf 
Causal Data Mining in Bioinformatics by Ioannis Tsamardinos: http://www.forth.gr/ics/bmi/In_the_News/2007/EN69-4.pdf

Report on ACM Text Mining in Bioinformatics (TMBIO 006) http://www.sigir.org/forum/2007J/2007j_sigirforum_song.pdf 
BIOKDD 2002: Recent Advances in Data Mining for 
Bioinformatics: http://www.acm.org/sigs/sigkdd/explorations/issue4-2/zaki.pdf

Bioinformatics and Medical Informatics: 

Tools for Mining and Applying Genetic Information in Patient Care:http://www.biomedtechalliance.org/pdfs/03_03_05/03_03_05.pdf

DATA MINING OF MICROARRAY DATABASES FOR HUMAN LUNG CANCER: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.106.385&rep=rep1&type=pdf

Towards knowledge-based gene expression data mining: http://www.ailab.si/blaz/papers/2007-JBI-BellazziZupan.pdf

DRAFT Accepted for publication in 'Data Mining in Bioinformatics'
Jason Wang, Mohammed Zaki, Hannu Toivonen, and Dennis Shasha (Eds.), Springer:http://www.cs.helsinki.fi/u/htoivone/pubs/gene_mapping_by_pattern_discovery.pdf

Data Mining and Text Mining for Bioinformatics: Proceedings of the European Workshop: http://www.rok.informatik.hu-berlin.de/wbi/research/publications/2003/proceedings_ws_mining.pdf

Biological Network Analysis:

Graph Mining in Bioinformatics: http://agbs.kyb.tuebingen.mpg.de/wikis/bg/BNA-5.pdf.

Text mining in bioinformatics: http://agbs.kyb.tuebingen.mpg.de/wikis/bg/4.pdf

Some datamining books that are available on google books:

Data mining and bioinformatics: first international workshop, VDMB 2006 By Mehmet M. Dalkilic

Data mining: concepts and techniques By Jiawei Han, Micheline Kamber

Address of the bookmark: https://www.baseclear.com/genomics/bioinformatics/basetools/SSPACE

1. TATA SCHOLARSHIP - Cornell University, New York State, USA
Tata, the Indian multinational conglomerate company, have a foundation known as the Tata Education & Development Trust which has endowed a multi million dollar sum to Cornell University to provide undergraduate scholarships to 20 Indian students every year.  In another example of supporting American universities, the Tata group also pledged US$50 million to Harvard University in recent years, whose executive management programme Ratan Tata attended in the 1970s.  Read more...  

2. BRADMAN FOUNDATION SCHOLARSHIP - University of Wollongong, Australia.
Named after Australia's cricket legend Donald Bradman, the UOW Bradman Foundation Scholarship was launched in 2012, with the help of Adam Gilchrist no less, to offer one successful Indian student each year a 50% reduction in tuition fees.  Read more...  

3. HUAWEI MAITREE SCHOLARSHIPS - Various Universities, China
Along with Tata, Huawei are the other huge corporation to be featured.  China's massive telecoms equipment vendor are involved in these scholarships offered to Indian students studying in China.  In 2013 there are 10 generous scholarships available which provide full tuition fees and living expenses.  The courses on which the scholarships are offered include Science and Technology courses, Social Sciences and Culture and Development courses.  Read more...

4. DR. MANMOHAN SINGH SCHOLARSHIPS - Cambridge University, England, UK
These scholarships have been designed to help budding Indian minds follow in the footsteps of Indian prime minister Manmohan Singh by studying at the prestigious Cambridge University.  The scholarships can be applied to any undergarduate course (with the two exceptions of medicine and veterinary science) and cover everything, i.e. tuition and college fees, living expenses and an additional grant to go towards travel expenses.  Read more...

5. OXFORD AND CAMBRIDGE SOCIETY OF INDIA - Oxford & Cambridge Universities, England, UK
As the name might suggest, these are scholarships available for students wishing to study at Oxford or Cambridge (cleverly known together as Oxbridge).  It is only available for applicants who are completing or have completed a degree at an Indian university, however these scholarships are for both undergraduate and graduate students.  Read more...

6. EDINBURGH NAPIER UNIVERSITY - Scotland, UK
This one applies to all countries in the Indian subcontinent and is for both undergraduate and graduate courses. Edinburgh Napier University offers a merit based discount of £2,000 Pounds.  Read more...

7. SHEFFIELD UNIVERSITY - Sheffield, UK
Provides merit-based scholarships for undergraduate and graduate programmes across all subjects. Read more...

8. INDIA 4EU II - Several Universities across Europe
Pioneered by the European Union and involving partner universities in France, Finland, Germany, Italy, Portugal, Spain and Sweden, the India 4EU II initiative is aimed at encouraging Indian students to study, work and live in Europe.  The initiative is well funded and allows the successful students tuition fees, expenses for living and travel costs as well as insurance during their time at one of the partner universities.  Read more...

9. TRINITY COLLEGE DUBLIN - Ireland
Valid for undergraduate courses in the faculties of Arts, Humanities, Social Sciences, Science, Computer Science or Engineering, the Trinity College Dublin offers Indian students scholarships to the tune of €9,000 per annum over a year degree course.  Read more...

10. UNIVERSITY COLLEGE DUBLIN - Ireland
Another of Ireland and Dublin's finest, the UCD awards one Global Excellence Undergraduate Scholarship which provides the worthy student a substantial 50% towards their tuition fees and is valid for all courses save medicine, radiography and veterinary medicine.  UCD also offers a Global Undergraduate Scholarship scheme for undergrads accepted on science, social sciences, arts and business courses.  This is all thanks to a €250,000 fund that will allow for 57 Indian students to benefit from scholarships at UCD.  Read more...

Research with the help of bioinformatics with a trans-disciplinary approach is yielding good results.

http://www.thehindu.com/features/education/research/research-with-help-of-bioinformatics-helpful/article2295629.ece

CABOG is one of many software programs called genome assemblers. These programs exist to overcome the fundamental limitation of all sequencing machines, namely, that they read out very few DNA letters at a time. These programs reconstruct genomes that are billions of letters long from the hundreds of letters per read that modern sequencers provide. What these programs do is often described as a scaled up version of a family solving a jigsaw puzzle.

The CABOG software was the first to accomplish many scientific goals. It was the first to assemble the genome of a multicellular organism (Drosophila melanogaster, 2000). It was the first to assemble both parental haplotypes of one human genome (J. Craig Venter, 2007). It was the first to assemble environmental sequence from the oceans (Sargasso Sea in 2004 and Global Ocean Sampling in 2007). It was first to combine reads from first-generation Sanger sequencing machines and second-generation pyrosequencing machines (Marine microbes, 2006). Today, CABOG is one of the leading assembly programs for data sets that include paired end data from the Roche 454 line of sequencing machines.

Address of the bookmark: http://www.jcvi.org/cms/research/projects/cabog/overview/

Address of the bookmark: https://www.igenbio.com/ergo/

http://gmod.org/wiki/Diya

Address of the bookmark: https://sourceforge.net/projects/diyg/

SciGenom Research Foundation (SGRF) and Institute of Genomics and Integrative Biology (IGIB) are pleased to host the Next-Generation Sequencing and Bioinformatics for Genomics & Healthcare conference.

In the ten years since the first human reference genome was completed for US$3 billion the sequencing technologies have radically changed leading to great reduction in sequencing cost. Today a human genome can be sequenced for under US$ 5000 in less than two weeks. It is expected that by the end of 2015 the cost of sequencing a human genome will drop to below thousand dollars. The next generation sequencing technologies over the past five years have enabled a large number of genomic studies that impact human health and disease. Also, this has made possible the growth of microbial, animal and plant genomics studies. While the data production has increased at a rapid pace challenges remain in analyzing and understanding the data. The conference will cover the next generation sequencing (NGS) technologies, bioinformatics for NGS and applications of NGS in many areas including personalized medicine.

For more info : http://www.scigenomconferences.com/2013/default.php

1. Must have basic understanding of molecular biology and Genomics.
2. Experience in application development or must have expertise in programming using either of Perl/Python.
3. Experience in statistical programming using R/Bioconductor/Matlab.
4. Strong concept in statistical and mathematical modelling.
5. Experience in designing and developing the bioinformatics pipeline.
6. Must have minimum 2+ years of hands on experience in NSG data analysis such as RNA-Seq,Exome-Seq ,Chip-Seq and downstream analysis.
7. Knowledge in WGS ,WES, Targeted re-sequencing,GWAS and population genomics will be preferred.
8. Must have experience working on opensource software/Framework and commercial software for NGS data analysis and reporting.
9. Should be aware of handling big data and guiding team members on multiple projects simultaneously.
10. Should have experience coordinating with different groups of clinical research scientist for various project requirements.
11. Ability to work as team as well as independently with minimal support.

More at http://www3.ocimumbio.com/